Research and Applications of RBF Big Data Processing Technology Based on Artificial Intelligence Algorithms

Among the processing technologies of big data, the most widely and deeply applied technology is prediction technology. The accuracy of predictions has important guiding significance for scientific decision-making. RBF neural networks have the advantages of simple structure, fast training speed, and strong approximation ability. The self-adaptability of its structure effectively avoids the limitation of initial weights. This article is based on artificial intelligence algorithms and optimizes the RBF neural network to obtain a more accurate prediction model. We will apply the improved RBF big data processing technology to the prediction of express delivery business volume. We have selected improved RBF big data processing technology and RBF big data processing technology to simultaneously predict the delivery volume of the business. Practice has shown that the improved RBF big data processing technology has higher prediction accuracy and lower mean square error. This article provides a reference for the improvement and innovation of RBF big data processing technology.